End of training
Browse files- README.md +1 -20
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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base_model: meta-llama/Llama-3.2-1B
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: llama3.2-1b-rumour-samples
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results: []
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# llama3.2-1b-rumour-samples
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0522
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- Accuracy: 0.5321
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## Model description
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- total_train_batch_size: 16
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- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.
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- num_epochs: 8
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 2.9563 | 0.9967 | 149 | 2.1771 | 0.3846 |
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| 1.581 | 1.9967 | 298 | 1.9459 | 0.4952 |
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| 1.0792 | 2.9967 | 447 | 1.6599 | 0.5513 |
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| 0.7366 | 3.9967 | 596 | 2.2794 | 0.5144 |
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| 0.4716 | 4.9967 | 745 | 1.9941 | 0.5513 |
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| 0.2634 | 5.9967 | 894 | 2.0054 | 0.5641 |
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| 0.1978 | 6.9967 | 1043 | 2.0889 | 0.5433 |
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| 0.0945 | 7.9967 | 1192 | 2.0522 | 0.5321 |
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### Framework versions
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- Transformers 4.47.0.dev0
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base_model: meta-llama/Llama-3.2-1B
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tags:
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- generated_from_trainer
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model-index:
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- name: llama3.2-1b-rumour-samples
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results: []
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# llama3.2-1b-rumour-samples
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
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## Model description
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- total_train_batch_size: 16
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- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 8
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.47.0.dev0
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pytorch_model.bin
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training_args.bin
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